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Updated: Jul 15, 2026

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization
Published on: July 5, 2016
Depth-independent segmentation of macroscopic three-dimensional objects encoded in single perspectives of digital
Conor P McElhinney1, John B McDonald, Albertina Castro
1Department of Computer Science, National University of Ireland, Maynooth, County Kildare, Ireland. conormce@cs.nuim.ie
Abstract:
We present a technique for performing segmentation of macroscopic three-dimensional objects recorded using in-line digital holography. We numerically reconstruct a single perspective of each object at a range of depths. At each point in the digital wavefront we calculate variance about a neighborhood. The maximum variance at each point over all depths is thresholded to classify it as an object pixel or a background pixel. Segmentation results for objects of low and high contrast are presented.
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